基于能量收集的全双工认知中继网络功率分配算法

张士兵; 韩刘可; 张美娟

doi:10.11959/j.issn.1000-436x.2020168

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基于能量收集的全双工认知中继网络功率分配算法

学术论文 | 更新时间：2024-06-05

- 基于能量收集的全双工认知中继网络功率分配算法
- Power allocation algorithm of full duplex cognitive relay network based on energy harvesting
- 通信学报 2020年41卷第9期页码：139-146
- 作者机构：
  
  南通大学信息科学技术学院，江苏南通 226019
- 作者简介：
  
  [ "张士兵（1962- ），男，江苏南通人，博士，南通大学教授、博士生导师，主要研究方向为通信信号处理、智能信息处理、认知无线电、超宽带、物理层安全等" ]
  [ "韩刘可（1992- ），男，安徽阜阳人，南通大学硕士生，主要研究方向为认知无线电、能量收集" ]
  [ "张美娟（1994- ），女，江苏淮安人，南通大学硕士生，主要研究方向为无线携能通信、认知无线电网络" ]
- 基金信息：
  
  国家自然科学基金资助项目(61871241);国家自然科学基金资助项目(61771263)
- DOI：10.11959/j.issn.1000-436x.2020168
  中图分类号： TN925
- 网络首发：2020-09，
  
  纸质出版：2020-09-25
- 稿件说明：
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张士兵, 韩刘可, 张美娟. 基于能量收集的全双工认知中继网络功率分配算法[J]. 通信学报, 2020,41(9):139-146.

Shibing ZHANG, Liuke HAN, Meijuan ZHANG. Power allocation algorithm of full duplex cognitive relay network based on energy harvesting[J]. Journal on Communications, 2020, 41(9): 139-146.
张士兵, 韩刘可, 张美娟. 基于能量收集的全双工认知中继网络功率分配算法[J]. 通信学报, 2020,41(9):139-146. DOI： 10.11959/j.issn.1000-436x.2020168.

Shibing ZHANG, Liuke HAN, Meijuan ZHANG. Power allocation algorithm of full duplex cognitive relay network based on energy harvesting[J]. Journal on Communications, 2020, 41(9): 139-146. DOI： 10.11959/j.issn.1000-436x.2020168.

摘要

为了缓解频谱资源匮乏、提高认知无线网络的功率利用率，提出了一种基于能量收集的全双工认知中继网络功率分配算法。所提算法在保证对主用户干扰以及中继端收集能量满足一定条件的情况下，优化能量受限的认知中继节点功率分配系数及次用户发射功率，实现了次用户系统吞吐量的最大化，提高了频谱效率。由于所提算法的优化问题是非凸的，因此将其转化为针对功率分配系数和次用户发射功率的2个可解凸优化子问题，通过收敛迭代算法求得原问题的最终解。仿真结果表明，采用所提算法的次用户系统吞吐量，与采用半双工功分算法的系统吞吐量相比提升了一倍，与采用全双工时分算法的系统吞吐量相比提升了0.5倍。

Abstract

To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks

a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.In the algorithm

the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimized to maximize the throughput of the secondary users under the interference to primary users and energy harvesting constraints.Since the optimization of the algorithm was non-convex

it was transformed into two sub-optimizations

the sub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary users

which were the solvable convex sub-optimizations.Then

the final solution of the original optimization was obtained with the iterative algorithm.Simulation results show that the throughput of the proposed algorithm

can obtain 2 times throughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks with full-duplex time switching algorithm.

关键词

Keywords

references

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